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The Industrial Awakening: The Internet of Heavier Things EE392n Intelligent Energy Systems: Big Data April 2016 1

The Industrial Awakening: The Internet of Heavier Thingsweb.stanford.edu/class/archive/ee/ee392b/ee392b.1166/lecture/apr5/DMount.pdf · The Industrial Awakening: The Internet of Heavier

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The Industrial Awakening:

The Internet of Heavier Things

EE392n Intelligent Energy Systems: Big Data

April 2016

1

Personal

• Joint MBA/MS 2008

• 3 years in Oil & Gas and Chemicals investing

• Currently Partner at KPCB (Joined ‘08)

• Areas of Interest: Intersection of IT and Sustainability

– Industrial IoT

– Smart Grid

– Wind

– Efficiency

– Buildings (including lighting)

2

Investing at the Intersection of Innovation and Industry

3

MOBILEMACHINELEARNING SENSORS

BIG DATA

CLOUDCOMPUTING ROBOTICS

REMOTESENSING

BATTERIESBLOCKCHAIN

ENABLING TECHNOLOGY INNOVATIONS TRADITIONAL INDUSTRY

GGF

SECULAR TRENDS: Climate Change, Urbanization, Population Growth, Regulation, Consumer Behavior

NEW BUSINESS MODELS: SaaS, Apps, P2P, Service-ization, Marketplaces

00110011

01111000

UTILITIES

AGRI BUSINESS

AUTO

INDUSTRIALS

Industrial Data: Machine Generated Data Vastly Outpacing Human Data

4

0

10

20

30

40

50

60

2014 2020E

Connected Endpoints (B)

0

5

10

15

20

25

2012 2014

Digital Sensor Shipments (B)

MORE SENSORS GREATER CONNECTIVITY

NETWORK SENSING DATA AGGREGATION ADVANCED ANALYTICSCONNECTED SERVICES

(tools)CONNECTED SERVICES

(solution)

IoT disruption enabled by megatrends

5

Pervasive, cheap, and tiny sensing

Decreasing compute and storage costs

New abilities to process and analyze

data

Ubiquitous connectivity

Convergence of key enablers indicate coming demand for pervasive sensing and vertical-specific analytics applications

Research indicates industrial IoT has huge value creation

potential

6

• According to Cisco, manufacturing (includes oil and gas production and process industries) represents the largest industry-specific IoTvalue creation opportunity over the next ten years (in terms of revenue enhancement and cost savings)

• 50% of value creation (~$2T) stems from implementation of “smart factories,” including analytics-enabled integration of labor, capital, and technology

• Gartner estimates the IoT will have a cumulative economic value add of $1.9T between 2014 and 2020; $290B of this will be in manufacturing / oil and gas

• GE estimates IoT-enabled services and maintenance constitutes $20B in annual savings, while the “Industrial Internet” will be responsible for $10-15T increase in GDP over next 20 years; Morgan Stanley estimates GE’s Predix platform has an annual revenue run rate of $1B

• Cisco estimates that 99.4% of physical objects are unconnected, and that the number of connected objects will increase from 14.4B today to 50B in 2020 (23% CAGR)

“Shell estimates that predictive condition monitoring…could save it 50% of its cost in maintenance in terms of labor and spares.” –J.P. Morgan

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“An oil and gas producer could anticipate benefits of $326M over ten years per field…[by] integrating and managing data streams from throughout the field.” – IBM

“It takes 313M labor-hours a year to service gas turbines, engines, freight…the total estimated value of this work is $20B…Consider how much time and effort is ultimately lost.” – GE

By reviewing its operational data, “a chemical company was able to reduce its waste of raw materials by 20% and its energy costs by 15%.” – McKinsey

Tremendous value capture opportunity -- from data sources that largely exist today

IoT benefits clear and material at smaller scale

Security

8

Ten Specific Areas of Interest

Network

Connected Services

Product as a Service

Payments

Retrofits

Translation

Vertical Applications

Insurance The Platform

9

Security

10

Network

11

Connected Services

12

Product as a Service

13

Insurance

14

Payments

15

Retrofits

16

Retrofits

17

Translation

18

Vertical Applications

19

The Platform

Security

20

Ten Specific Areas of Interest

Network

Connected Services

Product as a Service

Payments

Retrofits

Translation

Vertical Applications

Insurance The Platform

Questions?

Dave Mount@dbmount

[email protected]

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